An integrated systems biology approach identifies positive cofactor 4 as a pluripotency regulatory factor

ChEBI2015-10-30 更新2026-07-12 收录

干细胞多能性调控

系统生物学

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-74156 数据链接链接失效反馈

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An integrated systems biology approach identifies positive cofactor 4 as a pluripotency regulatory factor

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2015-10-30

MOESM1 of Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era

系统生物学

基因表达

Additional file 1: Table S1. Nucleotide sequences of promoters with different strengths and their gene name and function. Table S2. Primers used in this study. The lowercases in each primer are the ho

DataCite Commons2024-03-01 更新50

Table_1_Integration of Biological Networks for Acidithiobacillus thiooxidans Describes a Modular Gene Regulatory Organization of Bioleaching Pathways.XLSX

生物调控网络

系统生物学

Acidithiobacillus thiooxidans is one of the most studied biomining species, highlighting its ability to oxidize reduced inorganic sulfur compounds, coupled with its elevated capacity to live under an

NIAID Data Ecosystem30

RNA-Seq after knockdown of the core pluripotency transcription factors OCT4, SOX2, and NANOG in TE03 (I3) human embryonic stem cells (hESCs). RNA-Seq after knockdown of the core pluripotency transcription factors OCT4, SOX2, and NANOG in TE03 human embryonic stem cells (hESCs)

干细胞多能性调控

转录后基因表达分析

The OCT4, NANOG and SOX2 transcription factors (TFs) are at the core of the pluripotency program, activating the expression of pluripotency genes and repressing lineage-specific genes, many of which a

NIAID Data Ecosystem20

A Multidimensional Matrix for Systems Biology Research and Its Application to Interaction Networks

系统生物学

分子相互作用

A multidimensional matrix containing 76 parameters from 21 transcriptomics, proteomics, interactomics, phenotypic and sequence-based data sets, in which each data set covered most of the Saccharomyces

NIAID Data Ecosystem40

Additional file 5 of Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling

系统生物学

代谢建模

Models in SBML format. Compressed file (.zip) containing all SBML models from this work (.sbml). (ZIP 407 kb)

NIAID Data Ecosystem30